Unmanned aerial vehicles (UAVs) are increasing in popularity in various sectors,
simultaneously rasing the challenge of detecting those with low radar cross sections (RCS) …

Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now
used in a wide range of applications, from critical safety-of-life scenarios like nuclear power …

The conceptual design of unmanned aerial vehicles (UAVs) presents significant
multidisciplinary challenges requiring the optimization of aerodynamic and structural …

The rampant misuse of drones poses a serious threat to national security and human life.
Currently, CNN (Convolutional Neural Networks) are widely used to detect drones …

Abstract Unmanned Aerial Vehicle (UAV) is a remotely controlled or autonomously operated
aircraft used for various applications such as surveillance, communication, research, etc …

As unmanned aerial vehicles (UAVs) become more prevalent, the need for accurate and
reliable detection algorithms becomes increasingly important. UAV detection algorithms are …

面向城市低空小型无人机(unmanned aerial vehicle, UAV) 乱飞引发的公共安全隐患,
针对目前存在的动小目标检测精度低, 实时性差等问题, 提出了一种基于改进YOLOv7 …

With advancements in remote sensing technology and affordable design, uncrewed aerial
systems (UAS), commonly known as drones, have become prevalent in civil and military …

With advancements in remote sensing technology and affordable design, uncrewed aerial
systems (UAS), commonly known as drones, have become prevalent in both civil and …

This paper focuses on the statistical analysis and modeling of the radar cross-section (RCS)
of a DJI Phantom IV drone. The RCS datasets are generated by means of simulations …